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Bootstrap errors were calculated to test the sensitivity of the microsimulation to sampling error.
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Bootstrap standard errors were calculated for the estimated declines in employment, income given employment, and total productivity derived from the microsimulation model by age and sex cell.
Based on the means obtained by the bootstrap, the standard errors were calculated (Glasziou et al, 1990).
Standard errors were calculated through bootstrap methods, which do not treat weighting as implicitly fixed but as stochastic (37).
Due to skewness in the distribution of the overall PACIC scores, standard errors were calculated using a bootstrap method, free from parametric assumptions, using 10,000 bootstrap samples.
Due to the use of predicted values and complex survey design, standard errors were calculated using bootstrapping techniques.
Standard errors were calculated by 1000 bootstrap replications.
Standard errors were calculated using a bootstrap approach (10,000 resamples).
Standard errors were calculated by the bootstrap option with 1000 replicates.
Distances were estimated using the complete-deletion option in all cases and standard errors were calculated by the bootstrap method (1000 replicates).
Standard errors were calculated from 1,000 bootstrapping replicates.
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